INVESTMENT & PORTFOLIO STRATEGY

Portfolio Diversification Strategy Survey

Understand how institutional investors, wealth managers, and family offices evaluate asset allocation, weigh risk-adjusted returns, and navigate cross-asset diversification decisions, so you can sharpen positioning, refine segmentation, and convert high-value mandates.

Pan-India sample
Institutional investors (Portfolio Decision-Makers)
15-20 min
Talk to a Survey Consultant
Allocation friction & barriersIdentify where investors stall, reconsider, or abandon diversification mandates.
Asset preference & trade-offsBenchmark risk tolerance thresholds, return expectations, and rebalancing trigger points.
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CONTEXT & RELEVANCE

Why run this survey now

Most portfolio managers don't lose allocation confidence purely on market volatility. They lose it due to correlated asset exposure, unclear segment weighting, missed alternative entry points, rebalancing timing gaps, and misread risk-return thresholds, none of which fully show up in standard attribution reports or asset allocation models.

If you are...

  • Multi-asset portfolio strategist
  • Alternatives vs equities allocator
  • Product head, investment solutions
  • Revenue lead, wealth distribution
  • CIO or investment committee member

You're likely facing...

  • Correlation spike: equities vs bonds
  • Alternatives fit: illiquidity vs yield
  • Rebalancing triggers: timing vs threshold
  • Client mandate vs risk appetite gap
  • Segment drift: HNI vs institutional mix

This will help answer...

  • Allocation drivers beyond return
  • Rebalancing trigger and timing
  • Segment preference by asset class
  • Fee sensitivity across mandate types
  • Switching triggers and retention signals

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete portfolio diversification journey from allocation review to rebalancing execution.

TENETS 01

Allocation & Triggers

  • Current asset class mix
  • Diversification review triggers
TENETS 02

Risk Appetite

  • Volatility tolerance thresholds
  • Drawdown limits by mandate
TENETS 03

Asset Class Preference

  • Preferred diversification instruments
  • Emerging vs. established market split
TENETS 04

Decision Friction

  • Approval bottlenecks by stage
  • Data gaps delaying commitment
TENETS 05

Return Expectations

  • Target return by asset class
  • Benchmark comparison methods
TENETS 06

Manager & Instrument Selection

  • External manager evaluation criteria
  • Passive vs. active instrument split
TENETS 07

ESG & Mandate Fit

  • ESG screening integration level
  • Regulatory mandate constraints
TENETS 08

Rebalancing & Review

  • Rebalancing frequency and triggers
  • Portfolio drift tolerance bands

SAMPLING STRATEGY

Tell us about your ideal sample

Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.

Sample size
How many respondents do you need?
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Target audience
Who should we survey?
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Region
Which regions should we cover?
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Segments
How should we slice the data?
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Discuss sample plan

METHODOLOGY

Survey approach

For the Portfolio Diversification Strategy Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across investor segments and asset classes.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking asset class preferences by investor profile
2
Quantifying risk tolerance across portfolio segments
3
Benchmarking diversification triggers by AUM band
Deliverables
Asset preference rankings
Risk-tolerance matrix
Allocation shift drivers
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
HNI and legacy investors with low digital engagement
2
Quick pulse across multiple geographies and wealth tiers
Deliverables
Investor segment coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Ultra-HNI and family office cohorts needing verification
2
Advisors managing complex multi-asset mandates
Deliverables
Cohort deep profiles
Advisory journey maps
OPTIONAL
FGDs
Deliverables
Themes and quotes
Proposition feedback
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey as the core quant layer, supported by CATI for HNI and legacy investor segments with lower digital accessibility.
Consider adding: F2F for ultra-HNI and family office cohorts requiring in-depth verification, plus a focused FGD layer to pressure-test diversification messaging and proposition framing.

EXECUTION PROCESS

How we execute

A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.

Define the decision frame

Confirm objectives, target cohorts, geographies, and reporting cuts

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

Deliver and align

COMMERCIAL TERMS

Request a Commercial Proposal

Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.

Select Sample Size

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
  • Indian Rupee (INR)
  • United Arab Emirates Dirham (AED)
  • Afghan Afghani (AFN)
  • Albanian Lek (ALL)
  • Armenian Dram (AMD)
  • Netherlands Antillean Guilder (ANG)
  • Angolan Kwanza (AOA)
  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
  • Azerbaijani Manat (AZN)
  • Bosnia-Herzegovina Convertible Mark (BAM)
  • Barbadian Dollar (BBD)
  • Bangladeshi Taka (BDT)
  • Bulgarian Lev (BGN)
  • Bahraini Dinar (BHD)
  • Burundian Franc (BIF)
  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
  • Belize Dollar (BZD)
  • Canadian Dollar (CAD)
  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
  • Costa Rican Colón (CRC)
  • Cuban Peso (CUP)
  • Cape Verdean Escudo (CVE)
  • Czech Koruna (CZK)
  • Djiboutian Franc (DJF)
  • Danish Krone (DKK)
  • Dominican Peso (DOP)
  • Algerian Dinar (DZD)
  • Egyptian Pound (EGP)
  • Eritrean Nakfa (ERN)
  • Ethiopian Birr (ETB)
  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
  • Gambian Dalasi (GMD)
  • Guinean Franc (GNF)
  • Guatemalan Quetzal (GTQ)
  • Guyanese Dollar (GYD)
  • Hong Kong Dollar (HKD)
  • Honduran Lempira (HNL)
  • Croatian Kuna (HRK)
  • Haitian Gourde (HTG)
  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
  • Iraqi Dinar (IQD)
  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
  • Cambodian Riel (KHR)
  • Comorian Franc (KMF)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • Sri Lankan Rupee (LKR)
  • Liberian Dollar (LRD)
  • Lesotho Loti (LSL)
  • Libyan Dinar (LYD)
  • Moroccan Dirham (MAD)
  • Moldovan Leu (MDL)
  • Malagasy Ariary (MGA)
  • Macedonian Denar (MKD)
  • Burmese Kyat (MMK)
  • Mongolian Tögrög (MNT)
  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
  • Nigerian Naira (NGN)
  • Nicaraguan Córdoba (NIO)
  • Norwegian Krone (NOK)
  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
  • Papua New Guinean Kina (PGK)
  • Philippine Peso (PHP)
  • Pakistani Rupee (PKR)
  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
  • Russian Ruble (RUB)
  • Rwandan Franc (RWF)
  • Saudi Riyal (SAR)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • Sudanese Pound (SDG)
  • Swedish Krona (SEK)
  • Singapore Dollar (SGD)
  • Saint Helena Pound (SHP)
  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
  • Thai Baht (THB)
  • Tajikistani Somoni (TJS)
  • Turkmenistani Manat (TMT)
  • Tunisian Dinar (TND)
  • Tongan Paʻanga (TOP)
  • Turkish Lira (TRY)
  • Trinidad and Tobago Dollar (TTD)
  • New Taiwan Dollar (TWD)
  • Tanzanian Shilling (TZS)
  • Ukrainian Hryvnia (UAH)
  • Ugandan Shilling (UGX)
  • United States Dollar (USD)
  • Uruguayan Peso (UYU)
  • Uzbekistani Som (UZS)
  • Vietnamese Đồng (VND)
  • Vanuatu Vatu (VUV)
  • Samoan Tālā (WST)
  • Central African CFA Franc (XAF)
  • East Caribbean Dollar (XCD)
  • West African CFA franc (XOF)
  • CFP Franc (XPF)
  • Yemeni Rial (YER)
  • South African Rand (ZAR)
  • Zambian Kwacha (ZMW)
  • Zimbabwean Dollar (ZWL)

$0.00

+ applicable taxes

Proposal turnaround typically 24–48 hours

Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.

REFERENCE CASELETS

Reference

Real-world examples of survey work in the investment portfolio strategy space.

CASELET 1

Asset class preference & allocation behaviour among HNI investors (India)

CASELET 2

Alternative investment adoption barriers & adviser channel friction (India)

Asset class preference & allocation behaviour among HNI investors (India)

OBJECTIVE

A mid-size wealth management firm needed to map how HNI and ultra-HNI segments rank competing asset classes against each other, and identify which risk-return signals shift allocation decisions during market volatility cycles.

WHAT WE DID

Ran a structured quant survey across 320 respondents in six metros, capturing current portfolio composition , rebalancing triggers , preferred asset class combinations , and adviser influence scores at each allocation decision stage.

DELIVERED

A segment-level allocation preference map , a ranked list of rebalancing triggers by investor archetype , a risk-appetite corridor by wealth band, and a set of message territories tied to each segment's dominant decision rationale.
CASELET 1

Asset class preference & allocation behaviour among HNI investors (India)

CASELET 2

Alternative investment adoption barriers & adviser channel friction (India)

Asset class preference & allocation behaviour among HNI investors (India)

OBJECTIVE

A mid-size wealth management firm needed to map how HNI and ultra-HNI segments rank competing asset classes against each other, and identify which risk-return signals shift allocation decisions during market volatility cycles.

WHAT WE DID

Ran a structured quant survey across 320 respondents in six metros, capturing current portfolio composition , rebalancing triggers , preferred asset class combinations , and adviser influence scores at each allocation decision stage.

DELIVERED

A segment-level allocation preference map , a ranked list of rebalancing triggers by investor archetype , a risk-appetite corridor by wealth band, and a set of message territories tied to each segment's dominant decision rationale.

FREQUENTLY ASKED QUESTIONS

Common Questions

Answers to frequently asked questions about this survey mandate.

What decisions will this survey enable?

Who is the buyer vs who are the respondents?

Can we see differences between equity-focused, alternatives-focused and multi-asset investors?

How will you measure asset allocation preference beyond simple ratings?

Will the survey map the full portfolio rebalancing journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our distribution and client acquisition strategy?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

Book a Discovery Call